000			04012cam a2200529Ii 4500
001			u11890
003			SA-PMU
005			20210418124206.0
008			121123s2013 nyua 000 0 eng d
010			_a 2012941962
040			_aUKMGB _beng _erda _cUKMGB _dOCLCO _dBTCTA _dBDX _dYDXCP _dORX _dZNC _dBWX _dDLC _dOCLCF _dCRH _dEDK _dOCLCQ _dOCLCO _dOCL _dOCLCQ
015			_aGBB2B9165 _2bnb
016	7		_a016218722 _2Uk
019			_a806018032
020			_a9780071778435 _q(pbk.)
020			_a0071778438 _q(pbk.)
035			_a(OCoLC)820107034 _z(OCoLC)806018032
050	0	0	_aQA184.2 _b.C593 2013
082	0	4	_a512.5 _223
100	1		_aClark, William D. _q(William Dean), _eauthor.
245	1	0	_aLinear algebra / _cWilliam D. Clark, and Sandra Luna McCune.
246	3		_aPractice makes perfect, _pLinear algebra
264		1	_aNew York, New York : _bMcGraw Hill, _c2013.
264		4	_c©2013
300			_avii, 223 pages : _billustrations ; _c28 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aPractice makes perfect
505	0		_aPreface -- Systems Of Linear Equations And Matrices: -- Systems of linear equations -- General systems of linear equations -- Matrices -- Row transformations and equivalence of matrices -- Row-echelon form -- Homogeneous systems -- Matrix Algebra: -- Matrix arithmetic -- Inverse of a square matrix -- Properties of invertible matrices -- Matrix solutions of systems of linear equations -- Transpose of a matrix -- Graphing Calculators And Matrices: -- Matrix menu -- Inputting and editing a matrix -- Matrix arithmetic -- Calculating determinants -- Transpose of a matrix -- Solving linear systems using Gauss-Jordan elimination -- Solving linear systems using X=A-1C Special Types Of Square Matrices -- Nonsingular matrices -- Triangular, diagonal, and scalar matrices -- Involutory, idempotent, and nilpotent matrices -- Symmetric and skew-symmetric matrices -- Orthogonal matrices -- Hermitian and skew-hermitian matrices -- Determinants: -- determinant of a square matrix -- Cramer's rule -- Properties of determinant -- Vectors In R11: -- Vectors in two dimensions -- Dot product of vectors -- Vectors in R11 -- Vectors as matrices -- Vector Spaces: -- Definitions and terminology of vector spaces -- Linear independence -- Basis -- Dimension -- Row space, column space, and null space -- Rank and nullity -- Inner Product Spaces: -- Definition and terminology for inner product spaces -- Norm of a vector in an inner product space -- Cauchy-Schwarz inequality and properties of the norm -- Orthogonality in inner product spaces -- Gram-Schmidt procedure -- Linear Transformations: -- Definition and terminology for linear transformations -- Kernel and image of a linear transformation -- Matrix representation of linear transformations -- Change of basis -- Algebra of linear transformations --Linear operators on R2 and R3 -- Eigenvalues And Eigenvectors: -- Eigenvalue problem -- Useful properties of eigenvalues -- Diagonalization -- Answer key.
520			_aBook Description: An advanced Practice Makes Perfect workbook for linear algebra, designed to reinforce ideas and concepts, to provide 500 exercises and answers, to offer hundreds of solved problems--making this workbook the ideal complement to class study or self-study.
650		0	_aAlgebras, Linear.
650		0	_aAlgebras, Linear _vProblems, exercises, etc.
650		7	_aAlgebras, Linear. _2fast _0(OCoLC)fst00804946
655		7	_aProblems and exercises. _2fast _0(OCoLC)fst01423783
700	1		_aMcCune, Sandra K., _eauthor.
830		0	_aPractice makes perfect (McGraw-Hill Companies)
938			_aBrodart _bBROD _n103401059
938			_aBaker and Taylor _bBTCP _nBK0011928296
938			_aYBP Library Services _bYANK _n8533699
029	1		_aAU@ _b000050699866
029	1		_aNZ1 _b15529879
942			_cBOOK
994			_aZ0 _bSUPMU
948			_hNO HOLDINGS IN SUPMU - 112 OTHER HOLDINGS
596			_a1 2
999			_c6657 _d6657